Da'wah, as explained in the Qur'an, is an effort to invite individuals or groups, as well as the wider community, to embrace and apply Islamic teachings in daily life. This process is carried out in a sustainable and gradual manner, with the aim of internalizing, transmitting, and transforming the messages of Islamic teachings. This da'wah aims to direct humanity to goodness (al-khair), encourage good deeds (al-ma'ruf), and prevent bad actions (mungkar), so that they can achieve happiness in this world and the hereafter. The data used in this study were obtained through the author's observation of the YouTube account Noice (Different But Together). This article focuses on the implementation of da'wah activities on YouTube, as well as the oral and visual expressions used in these activities. The main methods applied by Habib Husein Jafar al-Hadar in his da'wah include emphasizing the themes of love, peace, and tolerance, using language that appeals to the younger generation, collaborating with popular YouTubers among young people, and delivering easy-to-understand da'wah material. Based on these findings, this article concludes that Habib Husein Jafar al-Hadar's da'wah activities have succeeded in attracting the attention of the current generation who often access YouTube, thus increasing the chances of da'wah collaboration to be well received.

In Indonesia, small and medium-sized businesses (SMBs) in the food and drink industry are seeing unprecedented expansion. Lots of MSMEs are experiencing this as they try to win over consumers. With competition heating up in the food stall industry, the research focuses heavily on what makes customers happy. A food stand may increase customer satisfaction by focusing on three areas: price, service, and product quality. Setting reasonable prices, giving outstanding service, and delivering high-quality goods are all ways to make customers happy at the food stand. Satisfied customers will be more likely to return to the store. The sales income of Bakso Pakde has recently seen significant adjustments. Finding out how different pricing tactics, product modifications, and service quality affect "Bakso Pakde" consumer happiness is the main goal of this research. This research makes use of SPSS for statistical analysis, which is part of a quantitative technique. "Bakso Pakde" customers are the center of attention in this research. For this study, 42 participants were chosen at random using a purposive selection technique. Multiple linear regression is the method that the analytical tool uses. This research found that in the setting of meatball vendors, consumer happiness was positively affected by price, product selection, and service quality.
 

Muhammadiyah University of Gresik is one of the educational institutions in Gresik. Every year, the ratio of new students to graduates is not the same, which can affect the accreditation of the campus. To address this issue, a prediction is made on the data of prospective new students to detect whether they can graduate on time or not. A comparison of the classification results is performed using the K-Nearest Neighbor and Naive Bayes methods. From the implementation and testing, Naive Bayes achieves an accuracy of 72%, while the K- Nearest Neighbor method achieves an accuracy of 64%. Therefore, Naive Bayes is better at classifying the data of prospective new students compared to K-Nearest Neighbor.